Abstract
The feasibility of near infrared (NIR) spectroscopy combination with kernel partial least square (PLS) regression algorithms for quantitative determination of reducing sugar content in potato flours was investigated. The PLS, kernel-PLS, wide-kernel-PLS and least square support vector machine (LS-SVM) algorithms were performed comparatively to develop multivariate calibration models with the pretreatment spectral variables. Through comparing the performance of multivariate calibration models with new samples, the optimal models of reducing sugar content was obtained using wide-kernel-PLS algorithm with correlation coefficient (r) of 0.950 and root mean square error of prediction of 2.44 mg/g. Moreover, the predictive values for new potato flour samples obtained with wide-kernel-PLS model did not show significant difference with the reference values. These results suggested NIR spectroscopy coupled with wide-kernel-PLS algorithm was suitable for quantitative analysis of complicated chemical component of reducing sugar in potato flour.
Similar content being viewed by others
References
B.M. Nicolaï, K. Beullens, E. Bobelyn, A. Peirs, W.K.I. Saeys, J. Lammertyna nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review. Postharvest Biol. Technol. 46(2), 99–118 (2007)
L.S. Magwaza, U.L. Opara, H. Nieuwoudt, P.J.R. Cronje, W. Saeys, B. Nicolaï, NIR spectroscopy applications for internal and external quality analysis of citrus fruit—a review. Food Bioprocess Technol. 5(2), 425–444 (2012)
S. López, I. Arazuri, J. García, C. Mangado, Jarén, A review of the application of near-infrared spectroscopy for analysis of potatoes. J. Agric. Food Chem. 61(23), 5413–5242 (2013)
R. Hartmann, H. Büning-Pfaue, NIR determination of potato constituents. Potato Res. 41(4), 327–334 (1998)
P.P. Subedi, K.B. Walsh, Assessment of potato dry matter concentration using short-wave near-infrared spectroscopy. Potato Res. 52(1), 67–77 (2009)
N.U. Haase, Rapid estimation of potato tuber quality by near-infrared spectroscopy. Starch 58(6), 268–273 (2006)
N.U. Haase, Estimation of dry matter and starch concentration in potatoes by determination of under-water weight and near infrared spectroscopy. Potato Res. 46(3–4), 117–127 (2003)
N.U. Haase, Prediction of potato processing quality by near infrared reflectance spectroscopy of ground raw tubers. J. Near Infrared Spectrosc. 19(1), 37–45 (2011)
S. López, C. Arazuri, J. Jarén, P. Mangado, J.I.R.D. Arnala, P. Galarreta, R. Riga, López, Crude protein content determination of potatoes by NIRS technology. Procedia Technol 8, 488–492 (2013)
K. Brunt, W.C. Drost, Design, construction, and testing of an automated NIR in-line analysis system for potatoes. Part I: off-line NIR feasibility study for the characterization of potato composition. Potato Res. 53(1), 25–39 (2010)
J. Jeong, H. Ok, O. Hur, C. Kim, Prediction of sprouting capacity using near-infrared spectroscopy in potato tubers. Am. J. Potato Res. 85(5), 309–314 (2008)
K. Danzer, M. Otto, L.A. Currie, Guidelines for calibration in analytical chemistry Part 2. Multispecies calibration. Pure Appl. Chem. 76, 1215–1225 (2004)
M. Blanco, I. Villarroya, NIR spectroscopy: a rapid-response analytical tool. Trends Anal. Chem. 21(4), 240–250 (2002)
R.M. Balabin, R.Z. Safieva, E. Lomakina, Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction. Chemometr. Intell. Lab. Syst. 88(2), 183–188 (2007)
B.M. Nicolaï, K.I. Theron, J. Lammertyn, Kernel PLS regression on wavelet transformed NIR spectra for prediction of sugar content of apple. Chemometr. Intell. Lab. Syst. 85(2), 243–252 (2007)
F. Chauchard, R. Cogdill, S. Roussel, J.M. Roger, V. Bellon-Maurel, Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes. Chemometr. Intell. Lab. Syst. 71(2), 141–150 (2004)
G. Burgos, E. Salas, W. Amoros, M. Auqui, L. Muñoa, M. Kimura, M. Bonierbale, Total and individual carotenoid profiles in Solanum phureja of cultivated potatoes: I. Concentrations and relationships as determined by spectrophotometry and HPLC. J. Food Compos. Anal. 22(6), 503–508 (2009)
M. Bonierbale, W. Grüneberg, W. Amoros, G. Burgos, E. Salas, E. Porras, T.Z. Felde, Total and individual carotenoid profiles in Solanum phureja cultivated potatoes: II. Development and application of near-infrared reflectance spectroscopy (NIRS) calibrations for germplasm characterization. J. Food Compos. Anal. 22(6), 509–516 (2009)
H. Lindsay, A colorimetric estimation of reducing sugars in potatoes with 3,5-dinitrosalicylic acid. Potato Res. 16(3), 176–179 (1973)
J. Trygg, S. Wold, PLS regression on wavelet compressed NIR spectra. Chemometr. Intell. Lab. Syst. 42(1–2), 209–220 (1998)
S.D. Jong, C.J.F.T. Braak, Comments on the PLS kernel algorithm. J. Chemometr. 8(2), 169–174 (1994)
F. Lindgren, P. Geladi, S. Wold, The kernel algorithm for PLS. J. Chemometr. 7(1), 45–59 (1993)
S. Rännar, F. Lindgren, P. Geladi, S. Wold, A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: theory and algorithm. J. Chemometr. 8(2), 111–125 (1994)
L. Leon, J.D. Kelly, G. Downey, Detection of apple juice adulteration using near-infrared transflectance spectroscopy. Appl. Spectrosc. 59(5), 593–599 (2005)
L.H. Espinoza, D. Lucas, D. Littlejohn, S. Kyauk, Total organic carbon content in aqueous samples determined by near-IR spectroscopy. Appl. Spectrosc. 53(1), 103–107 (1999)
W.F. McClure, H. Maeda, J. Dong, Y. Liu, Y. Ozaki, Two dimensional correlation of Fourier transform near-infrared and Fourier transform Raman spectra I: mixtures of sugar and protein. Appl. Spectrosc. 50(4), 467–475 (1996)
S.E. Kay, W.R. Windham, F.E.I.I. Barton, Prediction of total dietary fiber by near-infrared reflectance spectroscopy in high-fat- and high-sugar-containing cereal. J. Agric. Food Chem. 46(3), 854–861 (1998)
Q. Chen, J. Ding, J. Cai, J. Zhao, Rapid measurement of total acid content (TAC) in vinegar using near infrared spectroscopy based on efficient variables selection algorithm and nonlinear regression tools. Food Chem. 135(2), 590–595 (2012)
H. He, D. Sun, D. Wu, Rapid and real-time prediction of lactic acid bacteria (LAB) in farmed salmon flesh using near-infrared (NIR) hyperspectral imaging combined with chemometric analysis. Food Res. Int. 62, 476–483 (2014)
J. Shi, X. Zou, X. Huang, J. Zhao, Y. Li, L. Hao, J. Zhang, Rapid detecting total acid content and classifying different types of vinegar based on near infrared spectroscopy and least-squares support vector machine. Food Chem. 138(1), 192–199 (2013)
E. Teye, X. Huang, W. Lei, E. Dai, Feasibility study on the use of Fourier transform near-infrared spectroscopy together with chemometrics to discriminate and quantify adulteration in cocoa beans. Food Res. Int. 55, 288–293 (2014)
Acknowledgements
The authors gratefully acknowledge the financial support provided by Jiangxi Outstanding Youth Talent Program (20171BCB23060), Jiangxi Provincial Education Department Project (GJJ160478), China Scholarship (201808360317), Jiangxi Association for Science and Technology (JAST) and Doctor Start-up Program (368).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sun, X., Zhu, K. & Liu, J. Nondestructive detection of reducing sugar of potato flours by near infrared spectroscopy and kernel partial least square algorithm. Food Measure 13, 231–237 (2019). https://doi.org/10.1007/s11694-018-9936-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11694-018-9936-8